Table IV.
PLS Regression of MSC, SNV, and Savitzky–Golay Second Derivative-Transformed NIR Spectra for Calibration and Prediction of Letrozole and PLGA
| MSC | SNV | Savitzky–Golay | ||||
|---|---|---|---|---|---|---|
| Calibration | Prediction | Calibration | Prediction | Calibration | Prediction | |
| Samples | 36 | 36 | 36 | 36 | 36 | 36 |
| Slope | 0.963228 | 0.85399 | 0.963367 | 0.853988 | 0.982424 | 0.946380 |
| Offset | 0.387639 | 1.793364 | 0.386178 | 1.793643 | 0.184968 | 1.031883 |
| Correlation | 0.981442 | 0.949768 | 0.981512 | 0.949710 | 0.991188 | 0.991141 |
| RMSE | 1.082594 | 1.404363 | 1.080552 | 1.405067 | 0.747825 | 0.786413 |
| SEC/SEP | 1.097950 | 1.357095 | 1.095880 | 1.357768 | 0.758433 | 0.589398 |
| Bias | 2.649e-08 | 0.426249 | 5.298e-08 | 0.426484 | 1.060e-07 | 0.529817 |
Second derivative transformation showed lower RMSE, SEC, SEP, and a higher correlation coefficient than MSC and SNV-treated spectra